detector.py

from ultralytics import YOLO
import cv2
import torch
import torch.serialization

class LBWDetector:
    def __init__(self, model_path='best.pt'):
        with torch.serialization.safe_globals([torch.nn.modules.container.Sequential]):
            self.model = YOLO(model_path)

    def detect_objects(self, frame):
        results = self.model.predict(source=frame, conf=0.3, save=False, verbose=False)
        detections = results[0].boxes.data.cpu().numpy()  # x1, y1, x2, y2, conf, class
        return detections, results[0].names